Probabilistic failure mechanisms via Monte Carlo simulations of complex microstructures

Noii, Nima; Khodadadian, Amirreza; Aldakheel, Fadi

Abstract

A probabilistic approach to phase-field brittle and ductile fracture with random material and geometric properties is proposed within this work. In the macroscopic failure mechanics, materials properties and spatial quantities (of different phases in the geometrical domain) are assumed to be homogeneous and deterministic. This is unlike the lower scale with strong fluctuation in the material and geometrical properties. Such a response is approximated through some uncertainty in the model problem. The presented contribution is devoted to providing a mathematical framework for modeling uncertainty through stochastic analysis of a microstructure undergoing brittle/ductile failure. Hereby, the proposed model employs various representative volume elements with random distribution of stiff inclusions and voids within the composite structure. We develop an allocating strategy to allocate the heterogeneities and generate the corresponding meshes in two- and three-dimensional cases. Then the Monte Carlo Finite Element Method (MC-FEM) is employed for solving the stochastic PDE-based model and approximate the expectation and the variance of the solution field of brittle/ductile failure by evaluating a large number of samples. For the prediction of failure mechanisms, we rely on the phase-field approach which is a widely adopted framework for modeling and computing the fracture phenomena in solids. Incremental perturbed minimization principles for a class of gradient-type dissipative materials are used to derive the perturbed governing equations. This analysis enables us to study the highly heterogeneous microstructure and monitor the uncertainty in failure mechanics. Several numerical examples are given to examine the efficiency of the proposed method.

Citation

Noii, N., Khodadadian, A., & Aldakheel, F. (2022). Probabilistic failure mechanisms via Monte Carlo simulations of complex microstructures. Computer Methods in Applied Mechanics and Engineering, 399, Article 115358. https://doi.org/10.1016/j.cma.2022.115358

• Journal Article Type: Article
• Acceptance Date: Jul 5, 2022
• Publication Date: 2022-09
• Deposit Date: Feb 25, 2025
• Journal: Computer Methods in Applied Mechanics and Engineering
• Print ISSN: 0045-7825
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 399
• Article Number: 115358
• DOI: https://doi.org/10.1016/j.cma.2022.115358
• Keywords: Monte Carlo simulation; Phase-field model; Random distribution; Brittle/ductile fracture; Probabilistic failure
• Public URL: https://keele-repository.worktribe.com/output/1079457
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0045782522004388
• Additional Information: This article is maintained by: Elsevier; Article Title: Probabilistic failure mechanisms via Monte Carlo simulations of complex microstructures; Journal Title: Computer Methods in Applied Mechanics and Engineering; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.cma.2022.115358; Content Type: article; Copyright: © 2022 Elsevier B.V. All rights reserved.